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Karthik Pytai
Online
Skills
About
Karthik Pytai is a DevOps and cloud technology trainer with 3 years of teaching experience. He offers structured online classes in AWS DevOps, Kubernetes, and modern development to...
Karthik Pytai is a DevOps and cloud technology trainer with 3 years of teaching experience. He offers structured online classes in AWS DevOps, Kubernetes, and modern development tools for students and working professionals.His classes are suitable for beginners, IT students, and professionals looking to build or upgrade their skills in DevOps and cloud computing. Students across India can attend his online classes. He teaches in Kannada and English for better understanding.Qualifications SummaryKarthik Pytai holds a B.Tech / B.E. degree, providing a strong foundation in computer science and IT systems. His qualification supports practical and industry-focused training.Experience OverviewWith 3 years of teaching experience, Karthik Pytai has trained learners in DevOps tools and cloud technologies. He focuses on practical implementation, real-world scenarios, and job-oriented skills.He teaches tools like AWS, Docker, Kubernetes, Jenkins, and CI/CD pipelines step-by-step. His teaching approach helps learners understand both concepts and hands-on execution.
Karthik Pytai
Online
Skills :
Karthik Pytai is a DevOps and cloud technology trainer with 3 years of teaching experience. He offers structured online classes in AWS DevOps, Kubernetes, and modern development to...
Karthik Pytai is a DevOps and cloud technology trainer with 3 years of teaching experience. He offers structured online classes in AWS DevOps, Kubernetes, and modern development tools for students and working professionals.His classes are suitable for beginners, IT students, and professionals looking to build or upgrade their skills in DevOps and cloud computing. Students across India can attend his online classes. He teaches in Kannada and English for better understanding.Qualifications SummaryKarthik Pytai holds a B.Tech / B.E. degree, providing a strong foundation in computer science and IT systems. His qualification supports practical and industry-focused training.Experience OverviewWith 3 years of teaching experience, Karthik Pytai has trained learners in DevOps tools and cloud technologies. He focuses on practical implementation, real-world scenarios, and job-oriented skills.He teaches tools like AWS, Docker, Kubernetes, Jenkins, and CI/CD pipelines step-by-step. His teaching approach helps learners understand both concepts and hands-on execution.
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Courses by: Karthik Pytai
AWS DevOps Course by Karthik Pytai
AWS DevOps Engineering: Ultimate 3-Month Job-Oriented Program
This comprehensive curriculum is designed to take you from a beginner to a job-ready DevOps Engineer. Led by Karthik Pyati, an expert with deep industry experience in AWS, CI/CD, and Cloud Automation, this program focuses on the high-demand tools and real-world scenarios you’ll face in the field.
Gemini said
AWS DevOps Engineering: Ultimate 3-Month Job-Oriented Program
This comprehensive curriculum is designed to take you from a beginner to a job-ready DevOps Engineer. Led by Karthik Pyati, an expert with deep industry experience in AWS, CI/CD, and Cloud Automation, this program focuses on the high-demand tools and real-world scenarios you’ll face in the field.
🛠️ Detailed 12-Week Roadmap
Phase 1: Fundamentals (Weeks 1-4)
Linux Mastery: Filesystem hierarchy, user management, permissions, shell scripting, and core networking commands.
Version Control (Git/GitHub): Branching strategies, merging, rebasing, and collaborative workflows.
CI/CD Basics (Jenkins): Installing Jenkins, creating freestyle jobs, and basic pipeline automation.
Phase 2: Containers & Infrastructure as Code (Weeks 5-8)
Docker: Containerization, writing Dockerfiles, image optimization, and Docker Compose for multi-container apps.
Ansible: Configuration management, playbooks, inventory management, and automated server setup.
Terraform: Infrastructure as Code (IaC) using HCL, state management, modules, and multi-region AWS deployments.
Phase 3: Advanced AWS & Orchestration (Weeks 9-12)
Core AWS Services: * IAM: Identity and Access Management (Users, Roles, Policies).
VPC: Virtual Private Cloud (Subnets, Gateways, Route Tables, Security Groups).
EC2: Instance types, EBS, and Key-pair management.
S3: Object storage, lifecycle policies, and bucket security.
High Availability: Elastic Load Balancer (ELB) and Auto Scaling Groups (ASG).
Kubernetes (K8s): Architecture, Pods, Deployments, Services, ConfigMaps, and Secrets.
Advanced Monitoring: Setting up Prometheus and Grafana for real-time infrastructure and application metrics.
Gemini said
AWS DevOps Engineering: Ultimate 3-Month Job-Oriented Program
This comprehensive curriculum is designed to take you from a beginner to a job-ready DevOps Engineer. Led by Karthik Pyati, an expert with deep industry experience in AWS, CI/CD, and Cloud Automation, this program focuses on the high-demand tools and real-world scenarios you’ll face in the field.
🛠️ Detailed 12-Week Roadmap
Phase 1: Fundamentals (Weeks 1-4)
Linux Mastery: Filesystem hierarchy, user management, permissions, shell scripting, and core networking commands.
Version Control (Git/GitHub): Branching strategies, merging, rebasing, and collaborative workflows.
CI/CD Basics (Jenkins): Installing Jenkins, creating freestyle jobs, and basic pipeline automation.
Phase 2: Containers & Infrastructure as Code (Weeks 5-8)
Docker: Containerization, writing Dockerfiles, image optimization, and Docker Compose for multi-container apps.
Ansible: Configuration management, playbooks, inventory management, and automated server setup.
Terraform: Infrastructure as Code (IaC) using HCL, state management, modules, and multi-region AWS deployments.
Phase 3: Advanced AWS & Orchestration (Weeks 9-12)
Core AWS Services: * IAM: Identity and Access Management (Users, Roles, Policies).
VPC: Virtual Private Cloud (Subnets, Gateways, Route Tables, Security Groups).
EC2: Instance types, EBS, and Key-pair management.
S3: Object storage, lifecycle policies, and bucket security.
High Availability: Elastic Load Balancer (ELB) and Auto Scaling Groups (ASG).
Kubernetes (K8s): Architecture, Pods, Deployments, Services, ConfigMaps, and Secrets.
Advanced Monitoring: Setting up Prometheus and Grafana for real-time infrastructure and application metrics.
🚀 Real-Time Industry Projects
The "Golden" CI/CD Pipeline: A fully automated flow using Git → Jenkins → Docker → Kubernetes → AWS.
Infrastructure Automation: Using Terraform to spin up a production-grade VPC with private/public subnets and load-balanced EC2 instances.
Observability Stack: Deploying Prometheus and Grafana to monitor system health (CPU, RAM, Disk) and alert on critical failures.
Gemini said
AWS DevOps Engineering: Ultimate 3-Month Job-Oriented Program
This comprehensive curriculum is designed to take you from a beginner to a job-ready DevOps Engineer. Led by Karthik Pyati, an expert with deep industry experience in AWS, CI/CD, and Cloud Automation, this program focuses on the high-demand tools and real-world scenarios you’ll face in the field.
🛠️ Detailed 12-Week Roadmap
Phase 1: Fundamentals (Weeks 1-4)
Linux Mastery: Filesystem hierarchy, user management, permissions, shell scripting, and core networking commands.
Version Control (Git/GitHub): Branching strategies, merging, rebasing, and collaborative workflows.
CI/CD Basics (Jenkins): Installing Jenkins, creating freestyle jobs, and basic pipeline automation.
Phase 2: Containers & Infrastructure as Code (Weeks 5-8)
Docker: Containerization, writing Dockerfiles, image optimization, and Docker Compose for multi-container apps.
Ansible: Configuration management, playbooks, inventory management, and automated server setup.
Terraform: Infrastructure as Code (IaC) using HCL, state management, modules, and multi-region AWS deployments.
Phase 3: Advanced AWS & Orchestration (Weeks 9-12)
Core AWS Services: * IAM: Identity and Access Management (Users, Roles, Policies).
VPC: Virtual Private Cloud (Subnets, Gateways, Route Tables, Security Groups).
EC2: Instance types, EBS, and Key-pair management.
S3: Object storage, lifecycle policies, and bucket security.
High Availability: Elastic Load Balancer (ELB) and Auto Scaling Groups (ASG).
Kubernetes (K8s): Architecture, Pods, Deployments, Services, ConfigMaps, and Secrets.
Advanced Monitoring: Setting up Prometheus and Grafana for real-time infrastructure and application metrics.
🚀 Real-Time Industry Projects
The "Golden" CI/CD Pipeline: A fully automated flow using Git → Jenkins → Docker → Kubernetes → AWS.
Infrastructure Automation: Using Terraform to spin up a production-grade VPC with private/public subnets and load-balanced EC2 instances.
🎓 Learning Outcomes
Automate entire software delivery lifecycles.
Architect scalable and secure cloud environments on AWS.
Manage complex containerized applications using Kubernetes.
Prepare for industry interviews with mock sessions and resume-building support.
